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Communication Dans Un Congrès Année : 1999

FUZZY CLUSTERING WITH AMBIGUITY FOR MULTI-CLASSIFIERS FUSION : CLUSTERING-CLASSIFICATION COOPERATION

Résumé

The main aim of this paper is to demonstrate the performance of multi-classifiers fusion based on fuzzy clustering with ambiguity. The problem is seen from the multi-decision point of view (i.e. several classification modules). Each classification module is specialized on a particular region of the features space. These regions are obtained by fuzzy clustering and constitute the original data set by union.
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Dates et versions

hal-02092818 , version 1 (08-04-2019)

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  • HAL Id : hal-02092818 , version 1

Citer

Veyis Gunes, Michel Menard, Pierre Loonis. FUZZY CLUSTERING WITH AMBIGUITY FOR MULTI-CLASSIFIERS FUSION : CLUSTERING-CLASSIFICATION COOPERATION. EUSFLAT-ESTYLF Joint Conference, Sep 1999, Palma de Mallorca, Spain. ⟨hal-02092818⟩

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